HR: 10:46h
AN: SF12A-03    [Abstracts]
TI: Multi-Sensor Distributive On-line Processing, Visualization, and Analysis Infrastructure for an Agricultural Information System at the NASA Goddard Earth Sciences DAAC
AU: * Teng, W
EM: teng@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, SSAI Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Berrick, S
EM: sberrick@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Leptoukh, G
EM: leptoukh@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Liu, Z
EM: zliu@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, GMU Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Rui, H
EM: rui@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, SSAI Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Pham, L
EM: pham@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Shen, S
EM: sshen@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, GMU Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AU: Zhu, T
EM: tzhu@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, SSAI Code 902 NASA GSFC, Greenbelt, MD 20771 United States
AB: The Goddard Space Flight Center Earth Sciences Data and Information Services Center (GES DISC) Distributed Active Archive Center (DAAC) is developing an Agricultural Information System (AIS), evolved from an existing TRMM Online Visualization and Analysis System (TOVAS), which will operationally provide precipitation and other satellite data products and services. AIS outputs will be integrated into existing operational decision support systems for global crop monitoring, such as that of the U.N. World Food Program. The ability to use the raw data stored in the GES DAAC archives is highly dependent on having a detailed understanding of the data's internal structure and physical implementation. To gain this understanding is a time-consuming process and not a productive investment of the user's time. This is an especially difficult challenge when users need to deal with multi-sensor data that usually are of different structures and resolutions. The AIS has taken a major step towards meeting this challenge by incorporating an underlying infrastructure, called the GES-DISC Interactive Online Visualization and Analysis Infrastructure or "Giovanni," that integrates various components to support web interfaces that allow users to perform interactive analysis on-line without downloading any data. Several instances of the Giovanni-based interface have been or are being created to serve users of TRMM precipitation, MODIS aerosol, and SeaWiFS ocean color data, as well as agricultural applications users. Giovanni-based interfaces are simple to use but powerful. The user selects geophysical parameters, area of interest, and time period; and the system generates an output on screen in a matter of seconds. The currently available output options are (1) area plot - averaged or accumulated over any available data period for any rectangular area; (2) time plot - time series averaged over any rectangular area; (3) Hovmoller plots - longitude-time and latitude-time plots; (4) ASCII output - for all plot types; and (5) image animation - for area plot. Planned output options for the near-future include correlation plots and GIS-compatible outputs. The AIS will enable the remote, interoperable access to distributed data, because the current Giovanni implementation incorporates the GrADS-DODS Server (GDS), a stable, secure data server that provides subsetting and analysis services across the Internet, for any GrADS-readable data set. The subsetting capability allows users to retrieve a specified spatial region from a large data set, eliminating the need to first download the entire data set. The analysis capability allows users to retrieve the results of an operation applied to one or more data sets on the server. The Giovanni-GDS technology allows the serving of data, through convenient on-line analysis tools, from any location where GDS and a few GrADS scripts are installed. The GES-DISC implementation of this technology is unique in the way it enables multi-sensor processing and analysis.
UR: http://daac.gsfc.nasa.gov/www/agriculture/
DE: 3360 Remote sensing
DE: 1812 Drought
DE: 1821 Floods
DE: 1854 Precipitation (3354)
DE: 1894 Instruments and techniques
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting